In ManpowerGroup’s 2024 Age of Adaptability trend report, we shared how current demographic shifts are exacerbating labor shortages. Specifically, by 2030, members of Generation Z (born 1996-2012) will compose 58% of the workforce and a majority of the large baby boom generation will have retired.
The resulting knowledge deficit means it’s paramount to forecast the future of skills and use this understanding to fill gaps as efficiently as possible. However, for all of the talk about skills-based organizations – which deconstruct traditional roles, break them down into component parts, and then hire people to handle each part – the progress toward this shift in protocol isn’t as rapid as some would prefer. Between now and 2030, the evolution to a true skills focus will be gradual, and not as simple as merely declaring yourself a skills-based organization.
In this piece, we’ll explore how in the near future, the composition and acquisition of an in-demand, workforce-wide skills portfolio can move organizations toward the goal of a skills-based organization.
Skill Composition
The future of skills is complex and rapidly evolving. According to the World Economic Forum’s 2023 Future of Jobs Report, 44% of workers’ skills will be disrupted within five years.
But what skills will be most essential in a world of global, distributed, and automated work, where more surprises are likely around the corner? WEF’s 2023 research found that the hottest skills from an organizational perspective include cognitive and analytical thinking, creative thinking, self-efficacy (resilience, flexibility, and learning agility), curiosity, empathy, social influence, and quality control.
It’s notable that technical AI and big data skills ranked of lower importance than all of these. Why is this the case when AI-related skills are the third highest priority in company training strategies from now until 2027 (nine percent), and the top training priority for companies with more than 50,000 employees?
Leaders may be realizing that it’s not the hard AI and automation skills themselves that are most critical, but the ability to have an effective partner orientation toward working with smart machines. In other words, honing our human “soft” skills is the best way to differentiate our capabilities from AI’s capabilities and provide competent and ethical oversight to the technological “employees” in our workplaces.
In a 2024 LinkedIn Pulse article, systems engineer Arif Sheikh agreed with this take, suggesting that as AI-based technologies automate a greater number of tasks, the value of traditional human skills might at first seem to diminish. But this perspective overlooks the foundational role such skills play in personal development, social interaction, and professional experience.
Sheikh suggested that individuals who learn to navigate social interactions without social media before relying on these platforms will have better outcomes. “This highlights the importance of direct, human connection – a nuance that AI, for all its sophistication, cannot fully replicate,” he said.
In any case, it’s likely that by 2030, the most marketable employees will be those whose skillsets are a blend of job-specific competencies and those that make it possible to work successfully with machines and other humans in a variety of contexts. This means that in terms of training dollars, we might want to put the horse before the cart.
We should also note that within the next ten years, a majority of jobs will have a green component, which may require the development of new skills such as carbon footprinting, sustainability consulting, and climate data analysis across a large swath of industries and functions.
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